How to model optimal group size in social carnivores

2020 ◽  
Author(s):  
Harry Suter ◽  
Alasdair I. Houston
2021 ◽  
Author(s):  
Philip Protter ◽  
Alejandra Quintos

Author(s):  
Albert B. Kao ◽  
Amanda K. Hund ◽  
Fernando P. Santos ◽  
Jean-Gabriel Young ◽  
Deepak Bhat ◽  
...  

ABSTRACTFrom biofilms to whale pods, organisms have repeatedly converged on sociality as a strategy to improve individual fitness. Yet, it remains challenging to identify the most important drivers—and by extension, the evolutionary mechanisms—of sociality for particular species. Here, we present a conceptual framework, literature review, and model demonstrating that the direction and magnitude of the response of group size to sudden resource shifts provides a strong indication of the underlying drivers of sociality. We catalog six functionally distinct mechanisms related to the acquisition of resources, and we model these mechanisms’ effects on the survival of individuals foraging in groups. We find that whether, and to what degree, optimal group size increases, decreases, or remains constant when resource abundance declines depends strongly on the dominant mechanism. Existing empirical data support our model predictions, and we demonstrate how our framework can be used to predict the dominant social benefit for particular species. Together, our framework and results show that a single easily measurable characteristic, namely, group size under different resource abundances, can illuminate the potential drivers of sociality across the tree of life.


Author(s):  
Jeannine Holmes ◽  
Suzanne MacDonald

2003 ◽  
Vol 66 (2) ◽  
pp. 377-387 ◽  
Author(s):  
Christopher K Williams ◽  
R.Scott Lutz ◽  
Roger D Applegate

1994 ◽  
Vol 9 (4) ◽  
pp. 117-119 ◽  
Author(s):  
Bruce H. Rannala ◽  
Charles R. Brown

2010 ◽  
Vol 56 (2) ◽  
pp. 232-237 ◽  
Author(s):  
Antoni Dalmau ◽  
Alfred Ferret ◽  
Xavier Manteca

Abstract The Pyrenean chamois Rupicapra pyrenaica pyrenaica is a mountain-dwelling ungulate with an extensive presence in open areas. Optimal group size results from the trade off between advantages (a reduction in the risk of predation) and disadvantages (competition between members of the herd) of group living. In addition, advantages and disadvantages of group living may vary depending on the position of each individual within the herd. Our objective was to study the effect of central vs. peripheral position in the herd on feeding and vigilance behavior in male and female Pyrenean chamois and to ascertain if a group size effect existed. We used focal animal sampling and recorded social interactions when a focal animal was involved. With males, vigilance rate was higher in the central part of the group than at the periphery, probably due to a higher density of animals in the central part of the herd and a higher probability of being disturbed by conspecifics. With females, vigilance rate did not differ according to position in the herd. Females spent more time feeding than males, and males showed a higher frequency of the vigilance behavior than females. We did not observe a clear relationship between group size and vigilance behavior. The differences in vigilance behavior might be due to social interactions.


1983 ◽  
Vol 31 (3) ◽  
pp. 947-948 ◽  
Author(s):  
R.M. Sibly

2020 ◽  
Author(s):  
Keqin Li

Abstract Testing has been a major factor that limits our response to the COVID-19 pandemic. The method of sample pooling and group test has recently been introduced. However, it is still not clearly known how to determine the appropriate group size. In this paper, we develop an analytical method and a numerical algorithm to determine the optimal group size, which minimizes the total number of tests, maximizes the speedup of the pooling strategy, and minimizes both time and cost of testing. The optimal group size is determined by the fraction of infected people and independent of the size of the population. Furthermore, both the optimal pooling size and the achieved speedup grow exponentially with the reciprocal of the fraction of infected people, a quite impressive and nontrivial result. Our method is effective in supporting faster and cheaper asymptomatic COVID-19 screening. Our research has important social implications and financial impacts. For example, if the percentage of infected people is 0.001, we can achieve speedup of almost 16, which means that months of testing time can be reduced to days, and over 93% of the testing cost can be saved. Such a result has not been available in the known literature, and is a significant progress and great advance in pooling strategy optimization for accelerating asymptomatic COVID-19 screening.


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